In: Statistics and Probability
You are hired to investigate how much support there is for the new trade agreement among Canada, the United States and Mexico. You ask 16 business owners and 16 workers from each country how much they support the agreement on a scale of 1-50 (higher numbers mean more support). Below are the means for each group, and the ANOVA table. Please provide a full report for all the results from this 2-way ANOVA.
CAN |
US |
MEX |
||
Owners |
25 |
28 |
31 |
|
Workers |
24 |
22 |
11 |
|
SS |
df |
MS |
F |
|
Employment |
1944 |
1 |
1944 |
25.92 |
Citizenship |
304 |
2 |
152 |
2.03 |
Interaction |
1552 |
2 |
776 |
10.35 |
Within |
6750 |
90 |
75 |
|
Total |
10550 |
95 |
df | MS | F | |||
SS | p-value | ||||
Employment | 1944 | 1 | 1944 | 25.92 | 0.0000 |
Citizenship | 304 | 2 | 152 | 2.03 | 0.1373 |
Interaction | 1552 | 2 | 776 | 10.35 | 0.0001 |
Within | 6750 | 90 | 75 | ||
Total | 10550 | 95 |
The hypothesis being tested is:
H0: There is no main effect of Employment
Ha: There is a main effect of Employment
The p-value is 0.0000.
Since the p-value (0.0000) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that there is a main effect of Employment.
The hypothesis being tested is:
H0: There is no main effect of Citizenship
Ha: There is a main effect of Citizenship
The p-value is 0.1373.
Since the p-value (0.1373) is greater than the significance level (0.05), we fail to reject the null hypothesis.
Therefore, we cannot conclude that there is a main effect of Citizenship.
The hypothesis being tested is:
H0: There is no interaction effect
Ha: There is an interaction effect
The p-value is 0.0001.
Since the p-value (0.0001) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that there is an interaction effect.